In this blog, we'll introduce the origins of JindoFS and discuss the problems its
Matei Zaharia, founder of the Spark project, gave an in-depth review of Spark at the Spark + AI Summit 2020 in conjunction with its 10-year anniversary.
Part 2 of this 2-part series discusses E-MapReduce cluster management and how it works in real-world scenarios and various usage scenarios.
Part 1 of this 2-part series discusses how E-MapReduce provides a simple and highly effective big data practice.
This blog explores the architecture and design goals of Alibaba Cloud E-MapReduce (EMR), as well as introduces two key components of EMR: JindoFS and .
This article discusses how Alibaba Cloud EMR empowers open-source cloud ecosystems from multiple perspectives.
This article illustrates the definition of EMR, its advantages, architecture, and benefit.
This article describes common problems and optimization methods of data read/write in computing-storage separation scenarios, and introduces data cache acceleration with JindoFS.
This blog discusses the popular tools used in a big data system and shares some basic tips on building a distributed product roadmap.
This article introduces the reasons for choosing data lake acceleration, and shares Alibaba Cloud's practical experience and technical solutions.
This article is based on the enterprise data lake construction solution using E-MapReduce and customer best practices shared by Ziguan.
Read on to see exactly what happened to Flink in 2019, in particular how Alibaba has contributed to Flink.
In this blog, we'll discuss the evolution of Cainiao's Flink implementation solution and supply chain data in terms of real-time data technology architecture.
This article covers the evolution of the OPPO real-time data warehouse and development of Flink SQL.
This article briefly introduces Netflix's data platform team and its key product, Keystone.
This article discusses how Xiaomi leverages Apache Flink to build its streaming platform.
In this article, Lu Hao of Meituan-Dianping shares the company's practices using the Flink-based real-time data warehouse platform.
This article introduces the architecture and practices of the Bilibili's Saber real-time computing platform by considering the pain points of real-time computing.
This article introduces the technical evolution of Apache Flink during its application in Kuaishou and Kuaishou's future plans regarding Apache Flink.
This blog shares how Lyft built a large-scale near real-time data analytics platform based on Apache Flink.
